{"title":"带时间窗满载多式联运最优模型","authors":"Cai Yiping, Zhang Lei, Shao Luning","doi":"10.1109/ICLSIM.2010.5461448","DOIUrl":null,"url":null,"abstract":"Multi-modal transport of full loads with time limit is a complex problem. Its organization mode, which is link-up multimodal transport, and business process were probed into. Then, the virtual transport network is constructed for multimodal transport selection. Finally, a combination optimal model for multimodal transport of full loads with time windows is presented. Multi-objective genetic algorithm of random weighting is adopted as the optimization method, combined with MATLAB7.0 programming for calculation. A case study shows it can decrease the transport cost by 44.72% to 84.45%, and duration by 25% to 50%.","PeriodicalId":249102,"journal":{"name":"2010 International Conference on Logistics Systems and Intelligent Management (ICLSIM)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Optimal multi-modal transport model for full loads with time windows\",\"authors\":\"Cai Yiping, Zhang Lei, Shao Luning\",\"doi\":\"10.1109/ICLSIM.2010.5461448\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Multi-modal transport of full loads with time limit is a complex problem. Its organization mode, which is link-up multimodal transport, and business process were probed into. Then, the virtual transport network is constructed for multimodal transport selection. Finally, a combination optimal model for multimodal transport of full loads with time windows is presented. Multi-objective genetic algorithm of random weighting is adopted as the optimization method, combined with MATLAB7.0 programming for calculation. A case study shows it can decrease the transport cost by 44.72% to 84.45%, and duration by 25% to 50%.\",\"PeriodicalId\":249102,\"journal\":{\"name\":\"2010 International Conference on Logistics Systems and Intelligent Management (ICLSIM)\",\"volume\":\"66 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Logistics Systems and Intelligent Management (ICLSIM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICLSIM.2010.5461448\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Logistics Systems and Intelligent Management (ICLSIM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICLSIM.2010.5461448","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal multi-modal transport model for full loads with time windows
Multi-modal transport of full loads with time limit is a complex problem. Its organization mode, which is link-up multimodal transport, and business process were probed into. Then, the virtual transport network is constructed for multimodal transport selection. Finally, a combination optimal model for multimodal transport of full loads with time windows is presented. Multi-objective genetic algorithm of random weighting is adopted as the optimization method, combined with MATLAB7.0 programming for calculation. A case study shows it can decrease the transport cost by 44.72% to 84.45%, and duration by 25% to 50%.
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